Teaching
Fundamentals of Statistical Literacy (online)
University of Colorado Anschutz Medical Campus, Aurora, CO 2024 – Present
A 6-week online course teaching students how to evaluate and interpret statistical claims. The course uses a blended format with pre-recorded video lectures and live in-class activities, building progressively from core fundamentals of statistical literacy through regression analysis and omitted variable bias.
S-090A1: Latent Variable Analysis (Part 1)
Harvard Graduate School of Education, Cambridge, MA Spring 2020
A 7-session intensive course covering structural equation modeling (SEM), including path analysis, mediation analysis, confirmatory factor analysis (CFA), and exploratory factor analysis (EFA). Textbook: Kline, Principles and Practice of Structural Equation Modeling.
100% of students rated overall course benefit as 5 out of 5.
Student Testimonials
“This course covered an enormous amount of in-depth material on Structural Equation modeling in 7 weeks. I feel I learned the theory, reasoning, and usage of modeling tools to actually integrate SEM into my research…”
“Excellent overview of the practical basics of conducting applied structural equation models. I feel like I can read and understand literature that includes SEM, and also conduct basic analyses myself.”
“Thoughtful, encouraging, and very kind. Was excellent at taking advanced concepts and making them accessible…”